A software energy estimation methodology is presented that avoids explicit characterization of instruction energy consumption and predicts energy consumption to within 3% accuracy...
Over the past decade a large variety of hardware has been designed to exploit the inherent parallelism of the artificial neural network models. This paper presents an overview of ...
In this paper we present a novel use of an FPGA as a computing element for streaming based application. We investigate the virtualized execution of dynamic reconfigurable tasks. We...
Advances in the areas of embedded systems, computing, and networking are leading to an infrastructure composed of millions of heterogeneous devices. These devices will not simply ...
The increasing number of software-based attacks has attracted substantial efforts to prevent applications from malicious interference. For example, Trusted Computing (TC) technolo...
Xinwen Zhang, Michael J. Covington, Songqing Chen,...